Simple Optimal Downstream Feedback Canal Controllers: ASCE Test Case Results

Clemmens, A. J.; Wahlin, Brian

doi:10.1061/(asce)0733-9437(2004)130:1(35)

Cited by 46 publications

(32 citation statements)

References 9 publications

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“…The predictive control recalculates new gate positions (U) to come back to the reference behavior. There is an extensive bibliography of feedback control algorithms which recalculate the gate trajectories as CARA (Marzouki 1989), Wahlin et al (2006) andClemmens et al (2004).…”

Section: Methodsmentioning

confidence: 99%

GoRoSoBo: an overall control diagram to improve the efficiency of water transport systems in real time

Bonet

Gómez²,

Yubero³

et al. 2017

Journal of Hydroinformatics

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Abstract:The agriculture holds an important part of the food chain and the water resources for agriculture are essential. The problem is the water transport systems present low efficiencies in practice. The yield agriculture has to be optimized, because the goal of an operational water manager is to deliver the water to the irrigation sites accurately and efficiently. In order to fulfill this objective, we propose a centralized overall control diagram to optimize the management of the canal. Our control diagram in real-time is mainly composed by two algorithms, CSE and GoRoSoBo. The first one is a powerful tool in canal management, so that it is able to estimate the real extracted flow in the canal and the hydrodynamic canal state from measured level data at selected points. The second one is an essential tool in the management of a canal, a feedback control algorithm operating in real-time. The GoRoSoBo algorithm (Gómez, Rodellar, Soler, Bonet) is able to calculate the optimum gates trajectories for a predictive horizon taking into account the current canal state and the real extracted flow both obtained by CSE. Powered by Editorial Manager® and ProduXion Manager® from Aries Systems CorporationTitle: GOROSOBO: An overall control diagram to improve the efficiency of water transport systems in real time Manuscript Click here to download Manuscript PaperGRSB_17_10_2016. doc 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 ABSTRACTThe agriculture holds an important part of the food chain and the water resources for agriculture are essential. The problem is the water transport systems present low efficiencies in practice. The yield agriculture has to be optimized, because the goal of an operational water manager is to deliver the water to the irrigation sites accurately and efficiently. In order to fulfill this objective, we propose a centralized overall control diagram to optimize the management of the canal. Our control diagram in real-time is mainly composed by two algorithms, CSE and GoRoSoBo. The first one is a powerful tool in canal management, so that it is able to estimate the real extracted flow in the canal and the hydrodynamic canal state from measured level data at selected points. The second one is an essential tool in the management of a canal, a feedback control algorithm operating in real-time. The GoRoSoBo algorithm (Gómez, Rodellar, Soler, Bonet) is able to calculate the optimum gates trajectories for a predictive horizon taking into account the current canal state and the real extracted flow both obtained by CSE.

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Section: Methodsmentioning

confidence: 99%

GoRoSoBo: an overall control diagram to improve the efficiency of water transport systems in real time

Bonet

Gómez²,

Yubero³

et al. 2017

Journal of Hydroinformatics

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“…Modern canal control systems that regulate dynamics may be more complex than a PI or a Smith predictor based controller, and multivariable controllers may be proposed. But often these control systems include series of simple PI controllers—as the lowest control level—which are coordinated by other more complex controllers at upper levels (, e.g.). Although centralized H ∞ or model‐based predictive controllers may provide better performance than decentralized controllers, the latter offer some advantages: (i) the design and implementation of these control systems are simpler; (ii) the impact of communication failures or electrical power breakdown (which are common due to lightning, vandalism, and rodent bites, e.g.…”

Section: Main Irrigation Channel Pool Modelmentioning

confidence: 99%

Time Domain Tuning of Fractional Order Controllers Combined With a Smith Predictor for Automation of Water Distribution in Irrigation Main Channel Pools

Castillo-García¹,

Feliu-Batlle²,

Rivas-Pérez³

2012

Asian Journal of Control

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This paper proposes a new technique for designing fractional order controllers applied to the automation of main canal pools of a water irrigation system. As large variation of all the plant parameters is present in such systems, a fractional order family of controllers combined with a Smith Predictor is designed using time domain specifications. The designed controllers are compared with the standard combination of a Smith Predictor with a proportional‐integral (PI) controller. All these controllers are tuned to fulfil the same time specifications in the case of canal nominal dynamics. In some canals the plant parameters may experience large changes that deteriorate the time response, and can even unstabilize the closed‐loop system. The fractional controllers are therefore designed to minimize the loss of performance of the system to variations in these parameters. Simulated results show the performance improvements achieved with these controllers compared with a conventional PI controller.

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“…Using the PI feedback control, the control law in state space form is readily available [26]. The control actions u can be determined using the following form:…”

Section: Determination Of Control Actionsmentioning

confidence: 99%

Design and evaluation of control systems for a real canal

Shang

Rogers

Wang

2011

Sci. China Technol. Sci.

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The distant downstream proportional integral (PI) feedback control was applied to the W-M lateral canal of the Maricopa Stanfield Irrigation and Drainage District located in central Arizona, U.S.A. Proper configuration of those controls for the canal can be challenging. Towards this end, an integrated approach to the design of an automatic control system for the canal was proposed. This approach presented herein is not only a systematical review of previous work, but also represents a further advance of the previous simulation study by Tsinghua University (Shang et al, 2011) on relating the canal control algorithm to local PI controls for the real canal. To evaluate the control system potential, performance of the control algorithm that was obtained through implanting predicative module into linear quadratic regulator (LQR) was analyzed with singular value bode. Additional "manufactured" tests were conducted to compare with the control system that is currently in use. The results indicated that the developed control system rather than the system in current use had considerable potential to closely match discharge at the downstream check structures with those ordered by water users while maintaining the water level throughout the length of the canal. canal control system, singular value bode, proportional integral (PI) control, linear quadratic regulator (LQR)Citation:

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Simple Optimal Downstream Feedback Canal Controllers: ASCE Test Case Results

Cited by 46 publications

References 9 publications

GoRoSoBo: an overall control diagram to improve the efficiency of water transport systems in real time

GoRoSoBo: an overall control diagram to improve the efficiency of water transport systems in real time

Time Domain Tuning of Fractional Order Controllers Combined With a Smith Predictor for Automation of Water Distribution in Irrigation Main Channel Pools

Design and evaluation of control systems for a real canal

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